added examples sections

app.py

@@ -1,4 +1,5 @@
 import re
+import os
 import gradio as gr
 import librosa
 import numpy as np
@@ -119,12 +120,21 @@ def ssl_predict2(audio_file, model_type):
         d[k] = float(v)
     return d
 
+text_types = ["text", "password"]
+with open(file="examples.txt", mode="r", encoding="UTF-8") as fin:
+    lines = [elem[:-1] for elem in fin.readlines()]
+
+DATA_DIR = os.path.abspath("./audio_data")
+with open(file="audio_examples.txt", mode="r", encoding="UTF-8") as fin:
+    lines2 = [os.path.join(DATA_DIR, elem.strip()) for elem in fin.readlines()]
+
 with gr.Blocks() as ssl_interface:
 
     with gr.Tab("Text (RO-Offense)"):
         with gr.Row():
             with gr.Column():
-                in_text = gr.Textbox(label="Input text")
+                in_text = gr.Textbox(label="Input text",type="password")
+                safe_view = gr.Checkbox(value=True,label="Safe view")
                 model_list = gr.Dropdown(
                     choices=["fixmatch", "freematch", "mixmatch", "contrastive_reg", "label_propagation"],
                     max_choices=1,
@@ -137,9 +147,25 @@ with gr.Blocks() as ssl_interface:
                     clear_btn = gr.Button(value="Clear")
                     submit_btn = gr.Button(value="Submit")
 
+                ds = gr.Dataset(
+                    components=[gr.Textbox(visible=False),gr.Textbox(visible=False)],
+                    headers=["Id","Expected class"],
+                    samples=[["1","ABUSE"],["2","INSULT"],["3","PROFANITY"],["4","OTHER"]],
+                    type="index"
+                )
             with gr.Column():
                 out_field = gr.Label(num_top_classes=4, label="Prediction")
 
+        safe_view.change(
+            fn= lambda checked: gr.update(type=text_types[int(checked)]),
+            inputs=safe_view,
+            outputs=in_text
+        )
+        ds.click(
+            fn=lambda idx: gr.update(value=lines[idx].split("##")[0]),
+            inputs=ds,
+            outputs=in_text
+        )
         submit_btn.click(
             fn=ssl_predict,
             inputs=[in_text, model_list],
@@ -172,6 +198,13 @@ with gr.Blocks() as ssl_interface:
                     clear_btn2 = gr.Button(value="Clear")
                     submit_btn2 = gr.Button(value="Submit")
 
+                ds2 = gr.Dataset(
+                    components=[gr.Textbox(visible=False),gr.Textbox(visible=False)],
+                    headers=["Id","Expected class"],
+                    samples=[["1","Laughter"],["2","Cough"],["3","Sneeze"],["4","Throatclearing"]],
+                    type="index"
+                )
+
             with gr.Column():
                 out_field2 = gr.Label(num_top_classes=6, label="Prediction")
 
@@ -188,4 +221,10 @@ with gr.Blocks() as ssl_interface:
             queue=False
         )
 
+        ds2.click(
+            fn=lambda idx: gr.update(value=lines2[idx]),
+            inputs=ds2,
+            outputs=audio_file
+        )
+
 ssl_interface.launch(server_name="0.0.0.0", server_port=7860)

audio_examples.txt

@@ -0,0 +1,4 @@
+o0337_0_laughter.wav
+o0338_0_cough.wav
+o3362_0_sneeze.wav
+f3198_0_throatclearing.wav

examples.txt

@@ -0,0 +1,4 @@
+duce ti va de aici cu panaramele astea ## ABUSE
+echipa asta nu mai merge deloc bine. sunt niste terminati prosti ## INSULT
+Cum poti sa renunti la WTA Tour si sa il lasi in intregime la concurenta ? Cine naiba se mai uita la turneele ATP ? Romania  nu a mai avut un sportiv mare de cca 25 de ani, Simona Halep e singurul bun national in acest moment si are milioane de fani. Halal conducere la Telekom... ## PROFANITY
+un meci uimitor, cea mai buna prestatie din ultimele sezoane. felicitari ## OTHER